Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome. In this episode you will learn:<ul>
<li>Karen’s background as a hurdler [4:42]</li>
<li>Women in Data Podcast [10:32]</li>
<li>Cardlytics [19:04]</li>
<li>Karen’s background and current career [22:55]</li>
<li>Karen’s favorite tools [31:29]</li>
<li>Karen’s balance of fitness and work [34:45]</li>
<li>The biggest challenge of Karen’s career [47:09]</li>
<li>Advancement in data [54:13]</li>
<li>What is Karen most excited about? [59:40]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/525">www.superdatascience.com/525</a>

Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome. In this episode you will learn: Karen’s background as a hurdler [4:42] Women in Data Podcast [10:32] Cardlytics [19:04] Karen’s background and current career [22:55] Karen’s favorite tools [31:29] Karen’s balance of fitness and work [34:45] The biggest challenge of Karen’s career [47:09] Advancement in data [54:13] What is Karen most excited about? [59:40] Additional materials: www.superdatascience.com/525

Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome. In this episode you will learn:<ul>
<li>Karen’s background as a hurdler [4:42]</li>
<li>Women in Data Podcast [10:32]</li>
<li>Cardlytics [19:04]</li>
<li>Karen’s background and current career [22:55]</li>
<li>Karen’s favorite tools [31:29]</li>
<li>Karen’s balance of fitness and work [34:45]</li>
<li>The biggest challenge of Karen’s career [47:09]</li>
<li>Advancement in data [54:13]</li>
<li>What is Karen most excited about? [59:40]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/525" rel="noopener noreferrer">www.superdatascience.com/525</a>

525: Hurdling Over Data Career Obstacles

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Science

Technology

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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525: Hurdling Over Data Career Obstacles

525: Hurdling Over Data Career Obstacles

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